HAO Xiaolong, GAO Guoyin, TAN Haifeng, et al. Downhole compression algorithm for remote detection acoustic logging data based on adaptive differential pulse code modulation [J]. Petroleum Drilling Techniques, 2024, 52(6):148−155. DOI: 10.11911/syztjs.2024078
Citation: HAO Xiaolong, GAO Guoyin, TAN Haifeng, et al. Downhole compression algorithm for remote detection acoustic logging data based on adaptive differential pulse code modulation [J]. Petroleum Drilling Techniques, 2024, 52(6):148−155. DOI: 10.11911/syztjs.2024078

Downhole Compression Algorithm for Remote Detection Acoustic Logging Data Based on Adaptive Differential Pulse Code Modulation

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  • Received Date: December 13, 2023
  • Revised Date: July 02, 2024
  • Available Online: November 26, 2024
  • Remote detection acoustic logging has huge amount of data, which brings a great challenge to upload all data in real time for cable and conduct fast logging. In order to solve the problem of real-time transmission of remote detection acoustic logging, a downhole logging data compression algorithm based on differential non-uniform quantization and adaptive coding was proposed after analyzing the characteristics of the full waveform data of remote detection acoustic logging. The hardware system, downhole compression software, and ground decompression software were designed to implement this algorithm. The basic and expansion performance of the algorithm were tested using water experiment data and borehole logging data. The results show that the compression rate of the algorithm is approximately 50%, and the distortions of the full waveform, as well as those in the first-peak region of the direct wave and the reflected wave, are all within 3%. The execution time and required operational storage space of the algorithm can meet the requirements of fast acquisition and real-time transmission. In addition, this algorithm has good adaptability and stability under different hardware and software environments and data characteristics. The results also indicate that the proposed algorithm can compress the remote detection acoustic logging data, improving the cable transmission rate and remote detection acoustic logging speed.

  • [1]
    牛德成,苏远大. 基于声波远探测的浅海软地层邻井井眼成像方法[J]. 石油钻探技术,2022,50(6):21–27.

    NIU Decheng, SU Yuanda. Adjacent borehole imaging method based on acoustic remote detection in shallow unconsolidated formations[J]. Petroleum Drilling Techniques, 2022, 50(6): 21–27.
    [2]
    高永德,王世越,常波涛,等. 基于随钻前视探测技术的异常高压气层综合识别方法[J]. 天然气工业,2022,42(10):98–106.

    GAO Yongde, WANG Shiyue, CHANG Botao, et al. An integrated identification approach of abnormally high-pressure gas zones based on the look-ahead while drilling technology[J]. Natural Gas Industry, 2022, 42(10): 98–106.
    [3]
    杨书博,乔文孝,赵琪琪,等. 随钻前视声波测井钻头前方声场特征研究[J]. 石油钻探技术,2021,49(2):113–120.

    YANG Shubo, QIAO Wenxiao, ZHAO Qiqi, et al. The characteristics of the acoustic field ahead of the bit in “look-ahead” acoustic logging while drilling[J]. Petroleum Drilling Techniques, 2021, 49(2): 113–120.
    [4]
    郝小龙,鞠晓东,卢俊强,等. 声波测井存储模块的快速检测系统和补偿方法[J]. 应用声学,2019,38(5):782–787.

    HAO Xiaolong, JU Xiaodong, LU Junqiang, et al. Fast testing system and compensation method for storage module of acoustic logging[J]. Journal of Applied Acoustics, 2019, 38(5): 782–787.
    [5]
    卢俊强,鞠晓东,门百永,等. 方位远探测声波测井仪电子系统设计[J]. 测井技术,2022,46(5):530–535.

    LU Junqiang, JU Xiaodong, MEN Baiyong, et al. Design of electronic system of far detection azimuthal acoustic logging tool[J]. Well Logging Technology, 2022, 46(5): 530–535.
    [6]
    SINGH I, BHARANY S. Comparative studies of various techniques for image compression algorithm[J]. Acta Technica Corviniensis–Bulletin of Engineering, 2020, 13: 127–133.
    [7]
    SAYOOD K. 数据压缩导论[M]. 贾洪峰,译. 4版. 北京:人民邮电出版社,2014:259-278.

    SAYOOD K. Introduction to data compression[M]. JIA Hongfeng, translated. 4th ed. Beijing: Posts & Telecom Press, 2014: 259-278.
    [8]
    ORUKLU E, JAYAKUMAR N, SANIIE J. Ultrasonic signal compression using wavelet packet decomposition and adaptive thre-sholding[C]//2008 IEEE Ultrasonics Symposium. Piscataway, NJ: IEEE Press, 2008: 171-175.
    [9]
    GAWALI D, VARMA N, DIXIT T, et al. Design and implementation of ADPCM based audio compression using VHDL[C]//Proceedings of 2012 International Conference on Information and Network Technology. Alandi: E & TC Department, Maharashtra Academy of Engineering, 2012: 250-254.
    [10]
    FAJARDO A C A, REYES TORRES O M, RAMIREZ SILVA A B. Seismic data compression using 2D lifting-wavelet algorithms[J]. Ingeniería y Ciencia, 2015, 11(21): 221–238.
    [11]
    Schlumberger Limited. Digiscope sli-mhole measurements while drilling[EB/OL]. [2023-12-09]. https://www.slb.com/media/files/drilling/brochure/digiscope-slimhole-mwd-br.ashx.
    [12]
    张煜,裘正定,熊轲,等. 基于差分脉码调制的随钻测量数据压缩编码算法[J]. 石油勘探与开发,2010,37(6):748–755.

    ZHANG Yu, QIU Zhengding, XIONG Ke, et al. An algorithm for MWD data compression based on differential pulse code modulation[J]. Petroleum Exploration and Development, 2010, 37(6): 748–755.
    [13]
    杨欣仪. 面向测井过程的数据压缩方法研究[D]. 成都:电子科技大学,2023.

    YANG Xinyi. Research on data compression methods for logging processes[D]. Chengdu: University of Electronic Science and Technology, 2023.
    [14]
    刘长波,李宝鹏,张所生,等. 一种随钻测井数据实时压缩方法及解压缩方法:CN201610430622.7[P]. 2019-09-06.

    LIU Changbo, LI Baopeng, ZHANG Suosheng, et al. A real-time compression and decompression method for logging while drilling data: CN201610430622.7[P]. 2019-09-06.
    [15]
    李谦,彭子威,伍瑞卿,等. 一种自适应量化DPCM的测井数据压缩方法[J]. 国外电子测量技术,2021,40(5):47–51.

    LI Qian, PENG Ziwei, WU Ruiqing, et al. Data compression based on adaptive quantizer DPCM for well logging[J]. Foreign Electronic Measurement Technology, 2021, 40(5): 47–51.
    [16]
    梁耀,鞠晓东,李传伟,等. 基于帧间差分的随钻测井数据压缩算法[J]. 数据采集与处理,2019,34(2):297–302.

    LIANG Yao, JU Xiaodong, LI Chuanwei, et al. Data compression algorithm for logging while drilling based on frame-to-frame difference[J]. Journal of Data Acquisition & Processing, 2019, 34(2): 297–302.
    [17]
    李传伟,慕德俊,李安宗,等. 随钻声波测井数据实时压缩算法[J]. 西南石油大学学报(自然科学版),2008,30(5):81–84.

    LI Chuanwei, MU Dejun, LI Anzong, et al. A real-time data compression algorithm for acoustic wave logging while drilling[J]. Journal of Southwest Petroleum University(Science & Technology Edition), 2008, 30(5): 81–84.
    [18]
    邹学玉,冯振,张少华,等. 基于LZW算法的声波测井数据压缩研究[J]. 测井技术,2013,37(3):294–296.

    ZOU Xueyu, FENG Zhen, ZHANG Shaohua, et al. On the sonic logging data compression based on LZW algorithm[J]. Well Logging Technology, 2013, 37(3): 294–296.
    [19]
    陈建华. 数据无损压缩传输方法在阵列声波测井仪中的应用[J]. 电子测量技术,2020,43(13):81–84.

    CHEN Jianhua. Application of data lossless compression transporting method in XMAC logging tool[J]. Electronic Measurement Technology, 2020, 43(13): 81–84.
    [20]
    LIU Xianping, JU Xiaodong, QIAO Wenxiao, et al. Test-bench system for a borehole azimuthal acoustic reflection imaging logging tool[J]. Journal of Geophysics and Engineering, 2016, 13(3): 295–303. doi: 10.1088/1742-2132/13/3/295
    [21]
    HAO Xiaolong, JU Xiaodong, LU Junqiang, et al. Intelligent fault-diagnosis system for acoustic logging tool based on multi-technology fusion[J]. Sensors, 2019, 19(15): 3273. doi: 10.3390/s19153273
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